Abstract: The disclosure includes a system and method for providing a customized stream of content to a user. The system includes: an item sourcer for gathering one or more content items from one or more content sources; a behavior indicator module and scorer for determining one or more behavior scores for the one or more content items; a content indicator module and scorer for determining one or more content scores for the one or more content items; a score combiner for aggregating the one or more behavior scores and the one or more content scores to generate one or more item scores for the one or more content items; a content diversifier for determining one or more diverse items from the one or more content items; and a stream generator for generating a customized stream of content for the user from the one or more diverse items.

Abstract: The disclosure includes a system and method for providing a customized stream of content to a user. The system includes: an item sourcer for gathering one or more content items from one or more content sources; a behavior indicator module and scorer for determining one or more behavior scores for the one or more content items; a content indicator module and scorer for determining one or more content scores for the one or more content items; a score combiner for aggregating the one or more behavior scores and the one or more content scores to generate one or more item scores for the one or more content items; a content diversifier for determining one or more diverse items from the one or more content items; and a stream generator for generating a customized stream of content for the user from the one or more diverse items.

Abstract: A system and method for facilitating automatic objective-based feature improvement, the method including receiving a request to identify an optimal alternative for each of one or more features of a computer-implemented entity, determining an alternative feature range for each of the one or more features, the alternative feature range defining a range of possible alternative features available with respect to the feature, selecting one or more alternative features for each feature from the alternative feature range of the feature, generating a plurality of alternative sets, each including an alternative feature for at least one of the one or more features, selecting a plurality of user groups from a pool of users and assigning each user group of the plurality of users groups to one of the plurality of alternative sets based on user characteristics of the users and historical information regarding the interaction of the user with the computer-implemented entity.